Every case study here is a real engagement with a real client. We measure what matters — not vanity metrics.
RetailX was handling 2,000+ support tickets/day with a 14-person team. Average response time was 6 hours and customer satisfaction was falling.
We built a GPT-4o powered support agent trained on their product catalogue, policies, and 2 years of resolved tickets. It handles order tracking, returns, exchanges, and FAQs autonomously.
GrowthStack's sales team of 8 was spending 60% of their time on prospecting and cold outreach — and still missing quota. CAC was ₹45,000 per customer.
We built an autonomous AI prospecting engine that researches leads, personalises outreach at scale, and books demo calls directly into the team's calendar.
LogiCore's engineering team was doing manual deployments and their ops team spent 3 hours every Monday morning building Excel reports for management.
We automated their full deployment pipeline with GitHub Actions and built a real-time analytics dashboard pulling from their PostgreSQL database with AI-powered demand forecasting.
HealthBridge had 120 operations and admin staff who had heard about AI but had no idea how to apply it to their daily work. Management wanted results, not just a workshop.
We ran a custom 3-day AI training programme covering ChatGPT for medical documentation, Excel automation, and AI-assisted patient communication — with a follow-up 30 days later.
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